教師資料查詢 | 類別: 期刊論文 | 教師: 衛信文 Wei, Hsin-Wen (瀏覽個人網頁)

標題:DSTL: A Demand-Based Shingled Translation Layer for Enabling Adaptive Address Mapping on SMR Drives
學年
學期
出版(發表)日期2020/07/15
作品名稱DSTL: A Demand-Based Shingled Translation Layer for Enabling Adaptive Address Mapping on SMR Drives
作品名稱(其他語言)
著者Yi-Jing Chuang; Shuo-Han Chen; Yuan-Hao Chang; Yu-Pei Liang; Hsin-Wen Wei; Wei-Kuan Shih
單位
出版者
著錄名稱、卷期、頁數ACM Trans. Embed. Comput. Syst. 19(4), 25
摘要Shingled magnetic recording (SMR) is regarded as a promising technology for resolving the areal density limitation of conventional magnetic recording hard disk drives. Among different types of SMR drives, drive-managed SMR (DM-SMR) requires no changes on the host software and is widely used in today’s consumer market. DM-SMR employs a shingled translation layer (STL) to hide its inherent sequential-write constraint from the host software and emulate the SMR drive as a block device via maintaining logical to physical block address mapping entries. However, because most existing STL designs do not simultaneously consider the access pattern and the data update frequency of incoming workloads, those mapping entries maintained within the STL cannot be effectively managed, thus inducing unnecessary performance overhead. To resolve the inefficiency of existing STL designs, this article proposes a demand-based STL (DSTL) to simultaneously consider the access pattern and update frequency of incoming data streams to enhance the access performance of DM-SMR. The proposed design was evaluated by a series of experiments, and the results show that the proposed DSTL can outperform other SMR management approach by up to 86.69% in terms of read/write performance.
關鍵字
語言英文(美國)
ISSN1558-3465
期刊性質國外
收錄於SCI;EI;
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,電子版
相關連結
SDGs
  • 產業創新與基礎設施
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